Evidence map›Paper›PMID 41612572›Full record

ReviewPublic health nursing (Boston, Mass.)

Vaccination Coverage and Factors Associated With Incomplete Vaccination Schedules in Children Under 5 in a Peripheral Area of the Federal District of Brazil.

Ivea Rayane Mendes Nicacio Viana, Henry Maia Peixoto

Abstract readReview
In one paragraph

Review in Public health nursing (Boston, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ivea Rayane Mendes Nicacio VianaCentre for Tropical Medicine, University of Brasília (UnB), University Campus Darcy Ribeiro, Brasília, DF, Brazil.
Henry Maia PeixotoCentre for Tropical Medicine, University of Brasília (UnB), University Campus Darcy Ribeiro, Brasília, DF, Brazil.ORCID https://orcid.org/0000-0001-5982-8855

Funding

Coordination for the Improvement of Higher Education PersonnelInstitute for Health Assessment and Translation for Chronic and Neglected Diseases of High Relevance
6 · The paper itself

Abstract

objectiveTo estimate vaccination coverage (VC) and analyze the factors associated with the incomplete vaccination schedule (IVS) in children under 5 years of age in two Basic Health Units in the Federal District of Brazil.

designA cross-sectional study. SAMPLE: The study included 162 children in two Basic Health Units; 54.94% were male, and all were under 5 years of age. MEASUREMENTS: Guardians were interviewed using a structured questionnaire, and their vaccination booklets were photographed. VC was estimated and prevalence ratios (PR) were calculated using Poisson regression analysis.

resultsTwenty percent of the children had an IVS. None of the vaccines evaluated reached the VC considered correct in terms of age and interval between doses. Factors associated with IVS were age under 2 years (adjusted PR: 2.55; 95% CI: 1.53-4.24), difficulties arising from the COVID-19 pandemic (adjusted PR: 2.71; 95% CI: 1.51-4.86) and a negative response when asked whether all vaccines were administered in the same location (adjusted PR: 1.97; 95% CI: 1.13-3.44).

conclusionsA high proportion of children presented IVS, associated with factors such as age, lack of continuity of vaccination in the same location and difficulties caused by the COVID-19 pandemic.

Indexed as

COVID-19Immunization ScheduleVaccination CoverageBrazilChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleSurveys and QuestionnairesVaccinationhealth policyprimary health carevaccination coveragevaccines

Identifiers

PMID41612572
PMCPMC13108635

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.